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Although advanced statistical models have been proposed to fit complex data better, the advances of science and technology have generated more complex data, e.g., Big Data, in which existing probabili...
Based on a multi-regional input-output model, this study explores the temporal changes and driving forces of China's environmental losses relative to its economic gains from international trade with e...
Multinational enterprises actively participate in global production networks. However, the current global value chain accounting framework fails to consider the emissions originating from the producti...
In this talk, we mainly show some eigenvalue properties of second order Sturm-Liouville problems and third-order boundary value problems with both transmission conditions and eigenparameter-dependent ...
The Building Information Modeling (BIM) in the Architectural Heritage field is constantly proving to be a fertile ground for the experimentation of innovative systems for the enhancement and managemen...
Inflammatory bowel disease (IBD) has long been recognized as an exaggerated inflammatory response to common antigenic stimuli in the gut. Ulcerative colitis (UC) (1) and Crohn disease (CD) (2) are the...
Background: The potential impact of prior meal composition on the postprandial glycemic response and glycemic index (GI) and glycemic load (GL) value determinations remains unclear.
Technologies for converting non-edible biomass into chemicals and fuels traditionally made from petroleum exist aplenty. But when it comes to attracting commercial interest, these technologies compete...
Quick! Name the top-performing athletes in the animal kingdom. Cheetah? Try again. Blue whale? Nope.Here's a clue: If you take a walk in the desert on a moonlit night, you might see them, darting from...
Bivariate extreme-value distributions have been employed in modeling extremes in environmental sciences and risk management. An important issue is to estimate the dependence function such as Pickands ...
Decisionmakers need updated, scientifically sound and relevant information to implement appropriate policy measures and make innovative commitments to halt biodiversity loss and improve human well-b...
In the reinsurance industry different probabilistic models are currently used for seismic risk analysis. A credible loss estimation of the insured values depends on seismic hazard analysis and on the ...
The Gutenberg-Richter magnitude-frequency law takes into account the minimum detectable magnitude, and treats aftershocks as if they were independent and identically distributed random events. A new m...
In this paper we present a signal reconstruction algorithm from absolute value of frame coefficients that requires arelatively low redundancy. The basic idea is to use a nonlinear embedding of the inp...
The purpose of this note is to prove, for real frames, that signal reconstruction from the absolute value ofthe frame coefficients is equivalent to solution of a sparse signal optimization problem, na...

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